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Super-resolution Image Reconstruction

Super-resolution Image Reconstruction. Sina Jahanbin Richard Naething EE381K-14 May 3, 2005. Summary of Super-resolution Results in Literature Subjective results most prevalent reporting method Many papers lack implementation complexity information.

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Super-resolution Image Reconstruction

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  1. Super-resolution Image Reconstruction Sina Jahanbin Richard Naething EE381K-14 May 3, 2005

  2. Summary of • Super-resolution • Results in Literature • Subjective results most prevalent reporting method • Many papers lack implementation complexity information

  3. Recursive Least Square SR Method [Kim et al., 1990] Under-sampled Noisy Image Original Image … First Iteration Second Iteration Final SR Image

  4. Wavelet Based Super-resolution [Bose et al., 2004] Original LR Noisy SRImage

  5. “Structural SIMilarity (SSIM)” [Wang et al., 2004] • SSIM is an improved version of the Universal Quality Index mention in class • Other perceptual models have been based on MSE, but with error weighted based on visibility • Error visibility versus loss of quality? • Problems with quantifying loss of quality • Multiplicative noise Source: Image Quality Assessment: From Error Visibility to Structural Similarity [Wang et al., 2004]

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